Specifications Compared
| Spec | A100 | RTX-3060 |
|---|---|---|
| TDP | 400W | 170W |
| VRAM | 40-80 GB | 12 GB |
| CUDA Cores | 6,912 | 3,584 |
| Memory Type | HBM2e | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | 112 |
| FP16 Performance | 312 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 12.7 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 360 GB/s |
Performance Analysis
The A100 PCIe 80GB demonstrates superior compute power over the RTX 3060 Ti: 312 TFLOPS FP16 versus 12.7 TFLOPS accelerates AI training that relies on half-precision arithmetic, cutting iteration times for neural networks. Its FP32 at 19.5 TFLOPS edges out the RTX 3060 Ti's equal 12.7 TFLOPS, benefiting general-purpose simulations.
Memory bandwidth defines practical limits. The A100's 2039 GB/s enables massive batch sizes in training large models, avoiding bottlenecks that constrain the RTX 3060 Ti at 360 GB/s and 12 GB VRAM. This proves critical for datasets exceeding consumer GPU capacities.
Power draw reflects endurance: A100's 400W TDP sustains peak performance in prolonged sessions, unlike the RTX 3060 Ti's 170W suited to lighter loads. Overall, A100 transforms inference throughput for production-scale deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 PCIe 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 646GB Storage | Czechia | $1.07/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
RTX 3060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 168GB RAM 715GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
When to Choose the A100 PCIe 80GB
The A100 PCIe 80GB proves ideal for large-scale LLM training and inference: its 80 GB VRAM fits models with billions of parameters, while 312 TFLOPS FP16 speeds convergence. Datacenter users leverage NVLink for multi-GPU setups unavailable on RTX 3060 Ti.
Scientific computing demands its 2039 GB/s bandwidth and InfiniBand support for distributed workloads exceeding consumer limits.
When to Choose the RTX 3060 Ti
The RTX 3060 Ti fits prototyping and small ML tasks: at $0.03 per hour, its 12 GB VRAM handles fine-tuning or Stable Diffusion generation with 12.7 TFLOPS performance. Low 170W TDP suits cost-sensitive, intermittent cloud instances.
Gaming developers or hobbyists prefer it over A100's $2.08 per hour average for graphics workloads.
Use Cases
A100's 80 GB HBM2e VRAM and 312 TFLOPS FP16 support massive LLMs; RTX 3060 Ti's 12 GB GDDR6 causes out-of-memory issues.
2039 GB/s bandwidth on A100 maximizes batch throughput; 360 GB/s on RTX 3060 Ti limits production-scale serving.
RTX 3060 Ti manages small models with 12 GB VRAM at low cost; A100 accelerates larger ones via 19.5 TFLOPS FP32.
RTX 3060 Ti's 12.7 TFLOPS and $0.03/hr pricing suffice for image generation; A100's power overmatches needs.
A100's NVLink and 400W TDP enable HPC clusters; RTX 3060 Ti lacks interconnects for complex simulations.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA A100 PCIe 80GB versus RTX 3060 Ti?▾
A100 PCIe 80GB provides 80 GB HBM2e VRAM. RTX 3060 Ti offers 12 GB GDDR6. This gap allows A100 to load far larger AI models.
How do cloud prices compare for these GPUs?▾
NVIDIA A100 PCIe 80GB starts from $0.89/hr, averaging $2.08/hr across 28 offers. NVIDIA GeForce RTX 3060 Ti starts from $0.03/hr, averaging $0.06/hr across 2 offers.
Which GPU performs better in FP16 for AI training?▾
A100 PCIe 80GB reaches 312 TFLOPS FP16. RTX 3060 Ti achieves 12.7 TFLOPS. A100 thus accelerates training by over 24 times.
Can RTX 3060 Ti handle machine learning workloads?▾
RTX 3060 Ti supports small-scale ML with 12.7 TFLOPS FP32 and 12 GB VRAM. It falters on large models needing more than 360 GB/s bandwidth.
What are the memory bandwidth differences?▾
A100 PCIe 80GB delivers 2039 GB/s. RTX 3060 Ti provides 360 GB/s. Higher bandwidth on A100 boosts large-batch processing.
What are the TDP ratings?▾
A100 PCIe 80GB has 400W TDP for sustained high loads. RTX 3060 Ti uses 170W, fitting lighter consumer tasks.
Which is cheaper to rent, the A100 or the RTX 3060?▾
Cloud rental prices for both the A100 and RTX 3060 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the A100 have compared to the RTX 3060?▾
The A100 has 40 to 80 GB of HBM2e memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find A100 and RTX 3060 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the A100 and the RTX 3060?▾
The A100 uses the Ampere architecture (2020) while the RTX 3060 uses Ampere (2021). The A100 delivers 24.6x the FP16 throughput and 5.7x the memory bandwidth of the RTX 3060.